--- title: "opik vs promptfoo" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/comet-ml-opik-vs-promptfoo-promptfoo" tools: ["comet-ml-opik", "promptfoo-promptfoo"] --- # opik vs promptfoo Neutral, constraint-first comparison with live GitHub stats. | | [opik](/tools/comet-ml-opik.md) | [promptfoo](/tools/promptfoo-promptfoo.md) | | --- | --- | --- | | Tagline | Open-source AI Observability, Evaluation, and Optimization | CLI and library for evaluating and red-teaming LLM apps | | Stars | 20,410 | 23,045 | | Forks | 1,588 | 2,056 | | Open issues | 149 | 404 | | Language | Python | TypeScript | | Adopt for | Opik offers a comprehensive suite for the development lifecycle of generative AI applications with features such as deep tracing, automatic prompt optimization, and advanced evaluation capabilities under an open-source,姚 | Promptfoo is a CLI and library for evaluating Language Model (LM) applications, including testing prompts and models, red teaming LM apps, and integrating with CI/CD pipelines. It's designed to help ensure the security,靠 | | Persona | - | - | | Runtime | - | - | | License | Opik is released under the Apache License 2.0 which allows for commercial use but requires preservation of copyright notices. | MIT | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [opik](/tools/comet-ml-opik.md) | [promptfoo](/tools/promptfoo-promptfoo.md) | | --- | --- | --- | | Open issues (now) | 149 | 404 | | Full report | [trust report](/tools/comet-ml-opik/trust.md) | [trust report](/tools/promptfoo-promptfoo/trust.md) | **Typed relationship:** opik _(alternative)_ promptfoo Both Promptfoo and OPiK provide tools for evaluating, testing, and improving the performance of LLM models and systems. ## Decision facts: opik - **Adopt for:** Opik offers a comprehensive suite for the development lifecycle of generative AI applications with features such as deep tracing, automatic prompt optimization, and advanced evaluation capabilities under an open-source,姚 - **License detail:** Opik is released under the Apache License 2.0 which allows for commercial use but requires preservation of copyright notices. ## Decision facts: promptfoo - **Adopt for:** Promptfoo is a CLI and library for evaluating Language Model (LM) applications, including testing prompts and models, red teaming LM apps, and integrating with CI/CD pipelines. It's designed to help ensure the security,靠 ## Choose when ### Choose opik if… - opik is primarily Python; promptfoo is TypeScript. - License: opik is Apache-2.0, promptfoo is MIT. - Both Promptfoo and OPiK provide tools for evaluating, testing, and improving the performance of LLM models and systems. - Tags unique to opik: langchain, llm-observability, llama-index. - Use Opik when you are working on complex LLM systems or agentic workflows that require detailed observability and evaluation. ### Choose promptfoo if… - promptfoo is primarily TypeScript; opik is Python. - License: promptfoo is MIT, opik is Apache-2.0. - Both Promptfoo and OPiK provide tools for evaluating, testing, and improving the performance of LLM models and systems. - Tags unique to promptfoo: ci-cd, prompt-testing, prompt-engineering, ci. - promptfoo ships Docker support for self-hosted deployment. - When you need to evaluate the performance of different LLMs such as OpenAI, Anthropic, Azure, Bedrock, Ollama, etc., within a single interface. ## When NOT to use opik - Avoid using Opik if you only need basic tools for AI model monitoring without requiring advanced functionalities such as deep tracing or automatic optimization. - Do not use Opik if your project does not align with the observability and evaluation focus of this platform, preferring a more specialized tool. ## When NOT to use promptfoo - When your environment does not support Node.js, as this is a requirement for Promptfoo's functionalities. - If you are looking for a tool that only focuses on model training or fine-tuning without the emphasis on evaluation and red-teaming aspects of language models. ## Common questions ### What is the difference between opik and promptfoo? opik: Open-source AI Observability, Evaluation, and Optimization. promptfoo: CLI and library for evaluating and red-teaming LLM apps. See the comparison table for live GitHub stats and shared categories. ### When should I choose opik over promptfoo? Choose opik over promptfoo when opik is primarily Python; promptfoo is TypeScript; License: opik is Apache-2.0, promptfoo is MIT; Both Promptfoo and OPiK provide tools for evaluating, testing, and improving the performance of LLM models and systems; Tags unique to opik: langchain, llm-observability, llama-index; Use Opik when you are working on complex LLM systems or agentic workflows that require detailed observability and evaluation. ### When should I choose promptfoo over opik? Choose promptfoo over opik when promptfoo is primarily TypeScript; opik is Python; License: promptfoo is MIT, opik is Apache-2.0; Both Promptfoo and OPiK provide tools for evaluating, testing, and improving the performance of LLM models and systems; Tags unique to promptfoo: ci-cd, prompt-testing, prompt-engineering, ci; promptfoo ships Docker support for self-hosted deployment; When you need to evaluate the performance of different LLMs such as OpenAI, Anthropic, Azure, Bedrock, Ollama, etc., within a single interface. ### When should I avoid opik? Avoid using Opik if you only need basic tools for AI model monitoring without requiring advanced functionalities such as deep tracing or automatic optimization. Do not use Opik if your project does not align with the observability and evaluation focus of this platform, preferring a more specialized tool. ### When should I avoid promptfoo? When your environment does not support Node.js, as this is a requirement for Promptfoo's functionalities. If you are looking for a tool that only focuses on model training or fine-tuning without the emphasis on evaluation and red-teaming aspects of language models. ### Is opik or promptfoo more popular on GitHub? promptfoo has more GitHub stars (23,045 vs 20,410). Stars measure visibility, not whether either tool fits your constraints. ### Are opik and promptfoo open source? Yes - both are open-source projects on GitHub (opik: Apache-2.0, promptfoo: MIT). ### Where can I find alternatives to opik or promptfoo? GraphCanon lists graph-backed alternatives at /tools/comet-ml-opik/alternatives and /tools/promptfoo-promptfoo/alternatives (/tools/comet-ml-opik/alternatives.md, /tools/promptfoo-promptfoo/alternatives.md), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at /compare/comet-ml-opik-vs-promptfoo-promptfoo.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, opik or promptfoo? opik: Very active. promptfoo: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for opik and promptfoo? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: opik: /tools/comet-ml-opik/trust; promptfoo: /tools/promptfoo-promptfoo/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=comet-ml-opik`](/api/graphcanon/graph?tool=comet-ml-opik) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_